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We demonstrate that noises form in the beginning of the latent period of objects¿ transition into an emergency state, causing continuous changes in the statistical characteristics of the technological parameters. The theoretical foundations of analysis of noise as a carrier of diagnostic information have been proposed, and the algorithms for forming the correlation matrices of technological parameters equivalent to the matrices of their useful signals have been developed. We also propose the theoretical foundations of solving the problems of monitoring and identification of the latent period of changes in the technical condition of industrial facilities. Various intelligent robust systems of noise monitoring of the beginning of accidents at the facilities and objects of industries and fields, such as oil and gas extraction, construction, energy development, transport, seismology, aviation, medicine, etc. have been designed, built and put into operation. The proposed technologies can also become widely used for solving numerous problems of recognition, identification, modeling and control in various areas of science, technology and engineering.
This book examines noise-monitoring technologies and tools for registering the threshold of development of the latent period of the transition of a facility or product into an emergency state and controlling the dynamics of this development.
Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier.
This book explores the initial stage of the origin of the defect taking into account technical, biological, and other features of several technologies. These technologies allow the defect monitoring at the beginning of the defect origin to be performed at the expense of extracting information from the noise.
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